Linking out-of-body experience and self processing to mental own-body imagery at the temporoparietal junction

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Publications associées (29)

Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

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Objective Long-term automatic detection of focal seizures remains one of the major challenges in epilepsy due to the unacceptably high number of false alarms from state-of-the-art methods. Our aim was to investigate to what extent a new patient-specific ap ...

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Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection

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Wearable and unobtrusive monitoring and prediction of epileptic seizures has the potential to significantly increase the life quality of patients, but is still an unreached goal due to challenges of real-time detection and wearable devices design. Hyperdim ...

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Transcranial magnetic stimulation of the brain: What is stimulated? - A consensus and critical position paper

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Transcranial (electro)magnetic stimulation (TMS) is currently the method of choice to non-invasively induce neural activity in the human brain. A single transcranial stimulus induces a time-varying electric field in the brain that may evoke action potentia ...

ELSEVIER IRELAND LTD2022

First-person experience cannot rescue causal structure theories from the unfolding argument

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We recently put forward an argument, the Unfolding Argument (UA), that integrated information theory (IIT) and other causal structure theories are either already falsified or unfalsifiable, which provoked significant criticism. It seems that we and the cri ...

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Recent Developments on the Use of Nanomaterials for the Treatment of Epilepsy

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Epilepsy affects more than 40 million people worldwide, constituting one of the most debilitating disorders of the Central Nervous System (CNS). It results from an imbalance in the electrical activity of neurons, which is primarily mediated by calcium ions ...

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Hardware-Friendly Random Forest Classification of iEEG Signals for Implantable Seizure Detection

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Early and accurate detection of epileptic seizures is an extremely important therapeutic goal due to the severity of complications it can prevent. To this end, a low-power machine learning-based seizure detection implemented on an FPGA is proposed in this ...

IEEE2022

Kinesthetic motor-imagery training improves performance on lexical-semantic access

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The objective of this study was to evaluate the effect of Motor Imagery (MI) training on language comprehension. In line with literature suggesting an intimate relationship between the language and the motor system, we proposed that a MI-training could imp ...

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Epileptic Seizure Detection With Patient-Specific Feature and Channel Selection for Low-power Applications

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An accurate epileptic seizure detector using intracranial electroencephalography (iEEG) recordings, suitable for low-power wearable/implantable applications, is presented. Eleven time-domain features with low hardware complexity are employed in the feature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection

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Wearable Health Companions allow the unobtrusive monitoring of patients affected by chronic conditions. In particular, by acquiring and interpreting bio-signals, they enable the detection of acute episodes in cardiac and neurological ailments. Nevertheless ...

IEEE2022

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